As Ghana positions itself to harness the transformative power of artificial intelligence, experts are sounding a clear warning: without a robust digital foundation, AI ambitions risk building on sand. The nation’s journey toward AI-driven public services and economic growth depends not on algorithms alone, but on the underlying digital infrastructure that enables data sharing, secure authentication, and equitable access to computing resources.
Recent insights from stakeholders — including the World Bank Group, the National Information Technology Agency (NITA), and the African Centre for Economic Transformation (ACET) — emphasize that AI is the outcome of a mature and integrated digital government ecosystem. Foundational pillars such as a national digital identity system, digital payments infrastructure, government connectivity backbone, shared cloud and data-center capacity, expanding services on Ghana.gov, public key infrastructure (PKI), and cybersecurity capabilities are already in place. Yet critical gaps remain in interoperability, data quality and standardization, and uneven access to computing power across public institutions.
The National Data Exchange Platform, designed on a “connect once, share many” principle, promises to break down data silos by enabling secure, agency-wide information sharing — a crucial step for training reliable AI models. However, to realize its potential, the platform must be deployed government-wide, complemented by common data standards and APIs. Addressing data quality requires a data governance council, regular audits, and standardized formats. Meanwhile, upgrading computing resources in regional offices and public institutions to match national cloud capacity will ensure equitable AI capacity.
Experts also highlight the need for AI literacy across the public sector, cross-functional governance boards, workforce change management, and maintaining public trust. Pilot integration in high-impact services like health, tax, and agriculture — leveraging existing digital identity, payments, and unified data — offers a practical starting point.
The parallels with ongoing digital initiatives are evident. For instance, Google’s recent expansion of Street View in Ghana, featuring sharper imagery and wider coverage, demonstrates how investments in digital mapping and geographic data can enhance public services and economic opportunities. Such projects reinforce the broader narrative: sustainable AI adoption requires holistic investments in digital infrastructure that benefit citizens and businesses alike.
By completing the foundational pillars, resolving existing gaps, and fostering an enabling environment, Ghana can transition AI from isolated pilots to trusted, citizen-centric services that drive growth, create jobs, and lower the cost of doing business. The nation’s digital transformation journey underscores a fundamental truth: in the AI era, infrastructure is not just a support act — it is the main act.